In optimal control, sensitivity relations are usually understood as inclusions that identify the pair formed by the dual arc and the Hamiltonian, evaluated along the associated minimizing trajectory, as a suitable generalized gradient of the value function. In this paper, sensitivity relations are obtained for the Mayer problem associated with the differential inclusion $\dot x\in F(x)$ and applied to derive optimality conditions. Our first application concerns the maximum principle and consists in showing that a dual arc can be constructed for {\em every} element of the superdifferential of the final cost. As our second application, with every nonzero limiting gradient of the value function at some point $(t,x)$ we associate a family of optimal trajectories at $(t,x)$ with the property that families corresponding to distinct limiting gradients have {\em empty} intersection.